Risk Strategy Architect - Fintech Fraud Prevention

RedotPay; Hong Kong; On-site; HKD 420,000 - 660,000; Full time

Job summary

RedotPay is a global crypto payments fintech seeking a senior risk manager to lead risk prevention and control strategy, aligning with product growth and fintech standards. You will build frameworks for new products, oversee fraud, credit and order-cashing risk, and apply ML-driven analysis to detect and mitigate threats while maintaining smooth business expansion.

Your work will blend data insight with governance, monitoring risk trends, and refining strategies to reduce friction for users and

Qualifications

• Bachelor’s degree or higher in CS, math, statistics, finance, or related fields.
• 3+ years of experience in risk management in fintech or related industries.
• Hands-on experience with transaction risk control and anti-fraud strategies.
• Proficiency in Hive, SQL, Python, and R for data analysis.
• Familiar with risk models, anti-fraud systems, and decision engines.
• Strong logical thinking and ability to break down complex processes.

Responsibilities

• Map risk prevention and control frameworks for new products and scenarios.
• Design and deploy risk policies, processes and governance for launches.
• Lead full-cycle risk strategy management for fraud, credit, and order-cashing risks.
• Analyze fraud cases using ML and statistical modeling and feature engineering.
• Monitor risk trends and early-warning signals; adjust strategies to reduce friction.
• Review materials from potentially risky users and refine approval processes.

Skills

Risk management

Fraud prevention

Data analysis

Logical thinking

Problem solving

Education

Bachelor’s degree or above in CS/Math/Statistics/Finance

Tools

Hive

SQL

Python

R

Job description

RedotPay is a global crypto payments fintech seeking a senior risk manager to lead risk prevention and control strategy, aligning with product growth and fintech standards. You will build frameworks for new products, oversee fraud, credit and order-cashing risk, and apply ML-driven analysis to detect and mitigate threats while maintaining smooth business expansion.

Your work will blend data insight with governance, monitoring risk trends, and refining strategies to reduce friction for users and